Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Role of Cybersecurity in Ensuring Business Continuity in 2025

In today's digital age, cybersecurity is no longer just a technical concern; it's a business-critical priority. With cyber threats evolving rapidly, businesses must adopt robust strategies to protect their operations and ensure continuity. From ransomware attacks to insider threats, the risks are multifaceted and require proactive measures. As someone deeply invested in the cybersecurity space, I've seen firsthand how businesses can thrive when they prioritize security.

Why AI Is the Future of Legal Research: A Comprehensive Guide

Legal research is a cornerstone of the legal profession, requiring precision, speed, and the ability to navigate vast amounts of information. Traditional methods of legal research have long relied on databases, manual processes, and human expertise. While these methods have served the profession well, they often come with inefficiencies such as high costs, lengthy timelines, and the potential for human error.

How to Preserve Data Privacy in LLMs in 2025

As Large Language Models (LLMs) continue to advance and integrate into various applications, ensuring LLM data privacy remains a critical priority. Organizations and developers must adopt privacy-focused best practices to mitigate LLM privacy concerns, enhance LLM data security, and comply with evolving data privacy laws. Below are key strategies for preserving data privacy in LLMs.

The Evolving Role of AI in Data Protection

Each year, Data Protection Day marks an opportunity to assess the state of privacy and security in the midst of technological innovation. This year’s inflection point follows a robust dialogue on AI from last week’s World Economic Forum Annual Meeting in Davos. As CrowdStrike participated in these discussions, we emphasized the importance of leveraging AI to defend against ever-evolving cyber threats and protect the very data and workloads used to power AI.

Unmasking Shadow AI: What Is it and How Can You Manage it?

Since the launch of ChatGPT in late 2022, gen AI (generative artificial intelligence) has transformed nearly every facet of our lives, including our professions and workplace environments. Adoption has been driven by employees looking for faster, better ways to perform. For example, applications like ChatGPT, DALL-E, and Jasper are helping employees across industries boost productivity, overcome roadblocks, and brainstorm creative solutions.

API Security Is At the Center of OpenAI vs. DeepSeek Allegations

With a high-stakes battle between OpenAI and its alleged Chinese rival, DeepSeek, API security was catapulted to priority number one in the AI community today. According to multiple reports, OpenAI and Microsoft have been investigating whether DeepSeek improperly used OpenAI’s API to train its own AI models.

AI Powered Remediation: Mend SAST Performs +46% Better Than Competitors

Security teams face limited resources and a growing attack surface while developers struggle with security responsibilities that feel burdensome, annoying, or seem to conflict with their first priorities. AppSec teams turn to static application security testing (SAST) tools to identify vulnerabilities in first-party code early in the software development lifecycle while developers can still fix issues before the code is old and forgotten about.

DeepSeek: The Silent AI Takeover That Could Cripple Markets and Fuel China's Cyberwarfare

Unlike Western AI systems governed by privacy laws and ethical considerations, DeepSeek operates under a regime notorious for state-sponsored hacking, surveillance, and cyber espionage. With AI-driven automation at its disposal, China can rapidly scale its cyberattacks, embedding malware, manipulating financial markets, and eroding trust in global AI platforms.

AI-Powered Attacks Surge: 1,025% Jump in Vulnerabilities, 99% are API related

Wallarm's 2025 API ThreatStats Report offers a sweeping look at how AI deployments drive a surge in security risks. In 2024, Wallarm researchers discovered 439 AI-related CVEs-up an astonishing 1,025% from the prior year. Nearly all these flaws, 99%, point back to insecure or mismanaged APIs.